Data Scientist, Fraud Detection, temporary position

DesjardinsMontreal, QC
Hybrid

About The Position

The Debit and Banking Payments Fraud Analytics team is part of the Fraud Analytics Department. Its mission is to combat transactional fraud by using advanced analytics to detect anomalies, understand fraud patterns and quickly implement mitigation measures to protect members and clients. As a data scientist specializing in fraud detection, you will provide the data needed to make business decisions, develop solutions and services adapted to business needs, and gain insight into member and client behaviour. This is a temporary position for 12 months.

Requirements

  • Bachelor's degree in a related field
  • A minimum of four years of relevant experience
  • Experience in analytics with transactional data
  • Experience working with cloud platforms such as IBM Cloud Pak® for Data or Microsoft Azure
  • Experience with Apache Spark (via PySpark), Shiny, RStudio and Databricks
  • Knowledge of French is required
  • Proficiency in Python or R programming
  • Proficiency in data science libraries and their limitations, including scikit-learn, pandas, Matplotlib, NumPy and SciPy
  • Proficiency in SQL programming
  • Knowledge of GitHub

Nice To Haves

  • Other combinations of qualifications and relevant experience may be considered

Responsibilities

  • Design models and strategies to quickly detect transactional anomalies
  • Explore, analyze and synthesize information to understand the characteristics of active fraud schemes
  • Develop strategies for detecting transactional fraud
  • Test the theoretical performance of fraud mitigation models, rules and tools
  • Deploy fraud mitigation models, rules and tools into production
  • Continuously monitor fraud patterns and how well models and strategies are performing
  • Research and develop predictive variables to improve fraud detection
  • Develop, update and produce dashboards, data visualizations and various reports
  • Optimize and automate key fraud detection analytics processes
  • Provide ad hoc advice on projects to improve fraud risk management tools
  • Serve as an ad hoc advisor to the risk management teams and business sectors in your field
  • Monitor the industry to understand and anticipate trends in your field in order to develop and update best practices for the organization.

Benefits

  • Competitive salary and annual bonus
  • 4 weeks of flexible vacation starting in the first year
  • Defined benefit pension plan that provides predictable, stable income throughout retirement
  • Group insurance including telemedicine
  • Reimbursement of health and wellness expenses and telework equipment
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